Physical processes driving phytoplankton production around Southampton Island, Nunavut in late summer 2018 and 2019
Bibliographic record
Abstract
Climate change impacts have brought up the need for a better understanding of the rapidly changing ecosystem of the Arctic. Arctic marine ecosystems, such as around Southampton Island in Hudson Bay, are supported by phytoplankton production. In turn, phytoplankton production, which is influenced by environmental conditions and processes, can impact pelagic and benthic food webs. The goal of this thesis was to determine the physical processes driving phytoplankton production around Southampton Island, Nunavut during summer. Three subgroups of differing physical characteristics of the water column were distinguished: the Northwest Narrows group (well-mixed water connecting Roes Welcome Sound and Frozen Strait), the Hudson Bay group (warmer stratified waters to the south of Southampton Island), and the Foxe group (colder stratified northeastern waters in Foxe Basin and Foxe Channel). The different physical characteristics resulted in contrasting phytoplankton production and phytoplankton bloom stages around the island. In particular, a highly productive phytoplankton bloom supported by mixing and high nutrient availability, was observed in the Northwest Narrows group. Phytoplankton production estimates in the Northwest Narrows group were higher than estimates for Hudson Bay and Foxe Basin, and comparable to those in Hudson Strait. The substantial variability phytoplankton production around Southampton Island highlights the importance of local processes for primary production in the Arctic. This also calls to the necessity for future work to identify similar regions that have the potential to support high phytoplankton production in the Arctic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".